Journal of Rehabilitation Research & Development (JRRD)

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Volume 51 Number 5, 2014
   Pages 825 — 840

Abstract — Extraction of spatial information for low-bandwidth telerehabilitation applications

Kok Kiong Tan, PhD;1 Arun Shankar Narayanan;1* Choon Huat Koh, PhD;2 Kevin Caves;3 Helen Hoenig, MD, PhD4

1Department of Electrical and Computer Engineering and 2Saw Swee Hock School of Public Health, National University of Singapore, Singapore; 3Department of Surgery, Duke University Medical Center, Durham, NC; and Biomedical Engineering Department, Duke University, Durham, NC; 4Department of Medicine, Duke University School of Medicine, Durham, NC

Abstract — Telemedicine applications, based on two-dimensional (2D) video conferencing technology, have been around for the past 15 to 20 yr. They have been demonstrated to be acceptable for face-to-face consultations and useful for visual examination of wounds and abrasions. However, certain telerehabilitation assessments need the use of spatial information in order to accurately assess the patient’s condition and sending three-dimensional video data over low-bandwidth networks is extremely challenging. This article proposes an innovative way of extracting the key spatial information from the patient’s movement during telerehabilitation assessment based on 2D video and then presenting the extracted data by using graph plots alongside the video to help physicians in assessments with minimum burden on existing video data transfer. Some common rehabilitation scenarios are chosen for illustrations, and experiments are conducted based on skeletal tracking and color detection algorithms using the Microsoft Kinect sensor. Extracted data are analyzed in detail and their usability discussed.

Key words: Kinect, low-bandwidth video, skeletal tracking, spatial data extraction, telehealth, telemedicine, telemedicine applications, telerehabilitation, telerehabilitation assessment, videoconferencing.


View HTML ¦ View PDF ¦ Contents Vol. 51, No.5

This article and any supplementary material should be cited as follows:
Tan KK, Narayanan AS, Koh CH, Caves K, Hoenig H. Extraction of spatial information for low-bandwidth telerehabilitation applications. J Rehabil Res Dev. 2014;51(5):825–40.
http://dx.doi.org/10.1682/JRRD.2013.09.0217
ResearcherID/ORCID: Kok Kiong Tan, PhD: G-6621-2013; Arun Shankar Narayanan: K-2878-2013
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